Fatal Road Crashes in the Emirate of Abu Dhabi: Contributing Factors and Data-Driven Safety Recommendations

Awadalla, Dina M.; Albuquerque, Francisco Daniel Benicio de

doi:10.1016/j.trpro.2021.01.030

Cited by 7 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also consistent with the findings of Lei et al [35], in which the use of CRS was statistically significantly higher among female participants. Awadalla and Albuquerque [26] found that Emirati male drivers had a higher risk of being involved in a fatal road crash in Abu Dhabi, potentially explaining the results of this study in relation to gender. Our findings also show the third factor is related to participant education, which is similar to the findings of Bendak and Alkhaled [22] and Fildes et al [32], in which participants holding a higher educational degree were more likely to report that they 'always' restrained their children.…”

Section: Significant Factors That Influence Frequency Of Restraint Us...supporting

confidence: 48%

“…In addition, Awadalla and Albuquerque [26] analysed data collected from all reported crashes occurring between 2012 and 2017 and reported that many people are still not correctly restraining their children in the Emirate of Abu Dhabi, and this finding may also be relevant to other GCC countries (i.e., Saudi Arabia, Qatar, Kuwait, Oman and Bahrain) due to their similarities in road design, vehicle fleet and driving culture. For example, Alomani et al [27] assessed the epidemiology, patterns and outcome of trauma in the paediatric population in the Qassim region in Saudi Arabia.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Restraint Use for Child Occupants in Dubai, United Arab Emirates

Ahmad

Fildes

Logan

et al. 2022

IJERPH

View full text Add to dashboard Cite

The overall objective of the current study was to investigate the behaviours and knowledge of parents/carers in relation to safe child occupant travel in the Emirate of Dubai in the United Arab Emirates (UAE). A community survey was completed by 786 participants who were responsible for the safety of 1614 children (aged 10 years and younger). The survey included questions related to the type, frequency and appropriateness of restraint use for their eldest child. Overall, 24 percent of participants reported that they ‘never/almost never’ restrained their eldest child while travelling in a motor vehicle, with this proportion increasing with child age. For example, though 89 percent of participants reported that they restrained their infants (<1 year) in an ‘appropriate’ restraint for their age, this rate was much lower for children aged between 5 and 7 years (10%). Overall, these findings suggest that a large proportion of child occupants, especially those aged five years and older, are not appropriately restrained in vehicles, and therefore are at an increased risk of death or serious injury in the event of a crash. Future research will validate this self-reported child restraint use data with objective data from observations of real-world child restraint use behaviour in the UAE.

show abstract

Section: Significant Factors That Influence Frequency Of Restraint Us...supporting

confidence: 48%

Section: Introductionmentioning

confidence: 99%

Restraint Use for Child Occupants in Dubai, United Arab Emirates

Ahmad

Fildes

Logan

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…The country's road safety situation is comparable to that of its Gulf Cooperation Council (GCC) neighbors, who share a similar socio-economic and cultural background. The GCC region has been significantly affected by excessive road traffic crashes and injuries and still faces road safety problems [ 2 , 3 ]. Among GCC countries, the UAE had the second-lowest rate of 10.9 road traffic fatalities per 100,000 residents.…”

Section: Introductionmentioning

confidence: 99%

Impact of the revised Unified Federal Traffic Law on crash casualties in Abu Dhabi Emirate: Interrupted time series analysis

Abdalla Alfaki

2024

Heliyon

View full text Add to dashboard Cite

“…To improve road safety, predicting the frequency of collisions has been carried out by researchers previously (Awadalla and De Albuquerque, 2021;Eboli et al, 2020;J. Lee et al, 2015;Umair et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Prediction model of factors causing traffic accidents on rural arterial roads: A binary logistic regression approach

Sari,

Malkhamah,

Suparma

2024

J. Infras. Policy. Dev.

View full text Add to dashboard Cite

In rural areas, land use activities around primary arterial roads influence the road section’s traffic characteristics. Regulations dictate the design of primary arterial roads to accommodate high speeds. Hence, there is a mix of traffic between high-speed vehicles and vulnerable road users (pedestrians, bicycles, and motorcycles) around the land. As a result, researchers have identified several arterial roads in Indonesia as accident-prone areas. Therefore, to improve the road user’s safety on primary arterial roads, it is necessary to develop models of the influence of various factors on road traffic accidents. This research uses binary logistic regression analysis. The independent variables are carelessness, disorderliness, high speed, horizontal alignment, road width, clear zone, road shoulder width, signs, markings, and land use. Meanwhile, the dependent variable is the frequency of accidents, where the frequency of accidents consists of multi-accident vehicles (MAV) and single-accident vehicles (SAV). This study collects data for a traffic accident prediction model based on collision frequency in accident-prone areas. The results, road shoulder width, and road sign factor all have an impact on the frequency of traffic accidents. According to a realistic risk analysis, MAV and SAV have no risk difference. After validation, this model shows a confidence level of 92%. This demonstrates that the model generates estimations that accurately reflect reality and are applicable to a wider population. This research has the potential to assist engineers in improving road safety on primary arterial roads. In addition, the model can help the government measure the impact of implemented policies and engage the public in traffic accident prevention efforts.

show abstract

Fatal Road Crashes in the Emirate of Abu Dhabi: Contributing Factors and Data-Driven Safety Recommendations

Cited by 7 publications

References 7 publications

Restraint Use for Child Occupants in Dubai, United Arab Emirates

Restraint Use for Child Occupants in Dubai, United Arab Emirates

Impact of the revised Unified Federal Traffic Law on crash casualties in Abu Dhabi Emirate: Interrupted time series analysis

Prediction model of factors causing traffic accidents on rural arterial roads: A binary logistic regression approach

Contact Info

Product

Resources

About